Stochastic inventory systems in a supply chain with asymmetric information: Cycle stocks, safety stocks, and consignment stock

被引:167
|
作者
Corbett, CJ [1 ]
机构
[1] Univ Calif Los Angeles, Anderson Sch, Los Angeles, CA 90095 USA
关键词
D O I
10.1287/opre.49.4.487.11223
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The two critical factors distinguishing inventory management in a multifirm supply-chain context from the more traditional centrally planned perspective are incentive conflicts and information asymmetries. We study the well-known order quantity/reorder point (Q, r) model in a two-player context, using a framework inspired by observations during a case study. We show how traditional allocations of decision rights to supplier and buyer lead to inefficient outcomes, and we use principal-agent models to study the effects of information asymmetries about setup cost and backorder cost, respectively. We analyze two "opposite" models of contracting on inventory policies. First, we derive the buyer's optimal menu of contracts when the supplier has private information about setup cost, and we show how consignment stock can help reduce the impact of this information asymmetry. Next, we study consignment and assume the supplier cannot observe the buyer's backorder cost. We derive the supplier's optimal menu of contracts on consigned stock level and show that in this case, the supplier effectively has to overcompensate the buyer for the cost of each stockout. Our theoretical analysis and the case study suggest that consignment stock helps reduce cycle stock by providing the supplier with an additional incentive to decrease batch size, but simultaneously gives the buyer an incentive to increase safety stock by exaggerating backorder costs. This framework immediately points to practical recommendations on how supply-chain incentives should be realigned to overcome existing information asymmetries.
引用
收藏
页码:487 / 500
页数:14
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共 46 条
  • [1] Consignment stock inventory model in an integrated supply chain
    Battini, D.
    Gunasekaran, A.
    Faccio, M.
    Persona, A.
    Sgarbossa, F.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (02) : 477 - 500
  • [2] Inventory safety stocks of kanban control systems
    Mertins, K
    Lewandrowski, U
    [J]. PRODUCTION PLANNING & CONTROL, 1999, 10 (06) : 520 - 529
  • [3] On the effect of overtime and subcontracting on supply chain safety stocks
    Aouam, Tarik
    Kumar, Kunal
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2019, 89 : 1 - 20
  • [4] SAFETY STOCKS IN MULTISTAGE DIVERGENT INVENTORY SYSTEMS - A SURVEY
    INDERFURTH, K
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1994, 35 (1-3) : 321 - 329
  • [5] Vendor managed inventory with consignment stock agreement for a supply chain with defective items
    Khan, Mehmood
    Jaber, Mohamad Y.
    Zanoni, Simone
    Zavanella, Lucio
    [J]. APPLIED MATHEMATICAL MODELLING, 2016, 40 (15-16) : 7102 - 7114
  • [6] Effect of setup time reduction on supply chain safety stocks
    Kumar, Kunal
    Aouam, Tarik
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2018, 49 : 1 - 15
  • [7] A serial supply chain of newsvendor problem with safety stocks under complete and partial information sharing
    Jeong, In-Jae
    Leon, V. Jorge
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2012, 135 (01) : 412 - 419
  • [8] Vendor managed inventory with consignment stock for supply chain with stock- and price-dependent demand
    Hemmati, M.
    Ghomi, S. M. T. Fatemi
    Sajadieh, Mohsen S.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (18) : 5225 - 5242
  • [9] Inventory policies and safety stock optimization for supply chain planning
    Brunaud, Braulio
    Lainez-Aguirre, Jose M.
    Pinto, Jose M.
    Grossmann, Ignacio E.
    [J]. AICHE JOURNAL, 2019, 65 (01) : 99 - 112
  • [10] Managing production and inventory in a remanufacturing supply chain with two classes of cores under consignment stock agreement
    Zhu, Xiaoyan
    Zhang, Ting
    Cao, Yunzhi
    [J]. INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2024, 31 (02) : 1232 - 1269